1789 search results - page 59 / 358 » Genetic Algorithms for Component Analysis |
GECCO
2007
Springer
15 years 6 months ago
2007
Springer
A common problem in genetic programming search algorithms is destructive crossover in which the offspring of good parents generally has worse performance than the parents. Design...
AMCS
2008
14 years 12 months ago
2008
Principal component analysis (PCA) is a powerful fault detection and isolation method. However, the classical PCA which is based on the estimation of the sample mean and covariance...
105
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SLSFS
2005
Springer
15 years 5 months ago
2005
Springer
Abstract. This article presents a unified theory for analysis of components in discrete data, and compares the methods with techniques such as independent component analysis, non-...
ICA
2004
Springer
15 years 5 months ago
2004
Springer
Post-nonlinear (PNL) independent component analysis (ICA) is a generalisation of ICA where the observations are assumed to have been generated from independent sources by linear mi...
107
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COLT
2004
Springer
15 years 5 months ago
2004
Springer
The main goal of this paper is to prove inequalities on the reconstruction error for Kernel Principal Component Analysis. With respect to previous work on this topic, our contribu...